Claus-Peter Fritzen
Claus-Peter Fritzen
Professor für Techn. Mechanik, University of Siegen
Verified email at - Homepage
Cited by
Cited by
Structural health monitoring
D Balageas, CP Fritzen, A Güemes
John Wiley & Sons, 2010
Damage detection based on model updating methods
CP Fritzen, D Jennewein, T Kiefer
Mechanical systems and signal processing 12 (1), 163-186, 1998
Identification of mass, damping, and stiffness matrices of mechanical systems
CP Fritzen
Fatigue predictions in entire body of metallic structures from a limited number of vibration sensors using Kalman filtering
C Papadimitriou, CP Fritzen, P Kraemer, E Ntotsios
Structural Control and Health Monitoring 18 (5), 554-573, 2011
The connection between effective independence and modal kinetic energy methods for sensor placement
DS Li, HN Li, CP Fritzen
Journal of sound and vibration 305 (4-5), 945-955, 2007
Highly Sensitive Electromechanical Piezoresistive Pressure Sensors Based on Large-Area Layered PtSe2 Films
S Wagner, C Yim, N McEvoy, S Kataria, V Yokaribas, A Kuc, S Pindl, ...
Nano letters 18 (6), 3738-3745, 2018
Vibration-based structural health monitoring–concepts and applications
CP Fritzen
Key Engineering Materials 293, 3-20, 2005
Multi-site damage localization in anisotropic plate-like structures using an active guided wave structural health monitoring system
J Moll, RT Schulte, B Hartmann, CP Fritzen, O Nelles
Smart materials and structures 19 (4), 045022, 2010
Experimental characterization and two-dimensional simulation of short-crack propagation in an austenitic–ferritic duplex steel
O Düber, B Künkler, U Krupp, HJ Christ, CP Fritzen
International Journal of Fatigue 28 (9), 983-992, 2006
Modelling of short crack propagation–Transition from stage I to stage II
B Künkler, O Düber, P Köster, U Krupp, CP Fritzen, HJ Christ
Engineering Fracture Mechanics 75 (3-4), 715-725, 2008
Open guided waves: online platform for ultrasonic guided wave measurements
J Moll, J Kathol, CP Fritzen, M Moix-Bonet, M Rennoch, M Koerdt, ...
Structural Health Monitoring 18 (5-6), 1903-1914, 2019
A study of two unsupervised data driven statistical methodologies for detecting and classifying damages in structural health monitoring
DA Tibaduiza, MA Torres-Arredondo, LE Mujica, J Rodellar, CP Fritzen
Mechanical Systems and Signal Processing 41 (1-2), 467-484, 2013
The significance of microstructural barriers during fatigue of a duplex steel in the high-and very-high-cycle-fatigue (HCF/VHCF) regime
U Krupp, H Knobbe, HJ Christ, P Köster, CP Fritzen
International Journal of Fatigue 32 (6), 914-920, 2010
Self-diagnosis of smart structures based on dynamical properties
CP Fritzen, P Kraemer
Mechanical Systems and Signal Processing 23 (6), 1830-1845, 2009
A finite element updating approach for identification of the anisotropic hyperelastic properties of normal and diseased aortic walls from 4D ultrasound strain imaging
A Wittek, W Derwich, K Karatolios, CP Fritzen, S Vogt, T Schmitz-Rixen, ...
Journal of the mechanical behavior of biomedical materials 58, 122-138, 2016
Updating of finite element models by means of measured information
CP Fritzen, S Zhu
Computers & Structures 40 (2), 475-486, 1991
Non-axisymmetric Lamb wave excitation by piezoelectric wafer active sensors
J Moll, MV Golub, E Glushkov, N Glushkova, CP Fritzen
Sensors and Actuators A: Physical 174, 173-180, 2012
A note on fast computation of effective independence through QR downdating for sensor placement
DS Li, HN Li, CP Fritzen
Mechanical Systems and Signal Processing 23 (4), 1160-1168, 2009
Application of the EBSD technique to describe the initiation and growth behaviour of microstructurally short fatigue cracks in a duplex steel
U Krupp, O Düber, HJ Christ, B Künkler, A Schick, CP Fritzen
Journal of microscopy 213 (3), 313-320, 2004
Results obtained by minimising natural frequency and mac-value errors of a plate model
K Bohle, CP Fritzen
Mechanical Systems and Signal Processing 17 (1), 55-64, 2003
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